Evidence map›Paper›PMID 32541517›Full record

ArticleMedicine2020

Gene expression and prognosis of sirtuin family members in ovarian cancer.

Zhenguo Zeng, Yiming Huang, Yanshu Li, Shuying Huang, Jiao Wang, Yunliang Tang, Yanxia Jiang

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The sirtuin family in health and disease.Signal transduction and targeted therapy · 2022
    Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 4 countries.

Zhenguo ZengDepartment of Critical Care Medicine, First Affiliated Hospital of Nanchang University.
Yiming HuangDepartment of Critical Care Medicine, First Affiliated Hospital of Nanchang University.
Yanshu LiJiangxi Center of Medical Device Testing.
Shuying HuangDepartment of Reproductive medicine.
Jiao WangDepartment of Endocrinology and Metabolism.
Yunliang TangDepartment of Rehabilitation Medicine, First Affiliated Hospital of Nanchang University, Nanchang, P.R. China.
Yanxia JiangDepartment of Endocrinology and Metabolism.ORCID 0000-0002-6821-8343
Nanchang University · CNNational Health Insurance Fund · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sirtuins (SIRTs), a class of nicotinamide-adenine dinucleotide (NAD)+-dependent deacetylases, involve in modulating carcinogenesis and progression of various malignancies through their regulation of the cancer metabolism. However, the expression profiles and prognostic roles of SIRTs in ovarian cancer (OC) remain unclear. We underscore the transcriptional expression and prognostic significance of SIRTs in OC patients using online databases. Gene Expression Profiling Interactive analysis (GEPIA) was applied to analyze mRNA expression, and Kaplan-Meier plotter was used to evaluate prognostic value. In patients with OC, SIRT1/2/3 were significantly down-regulated, while rest of SIRTs were not significantly changed. High SIRT2/5/6/7 expression was correlated with favorable overall survival (OS), while high SIRT1/4 expression was correlated with poor OS. Additionally, aberrant SIRTs mRNA levels were related to the prognosis of OC patients with different clinicopathological characteristics. This is the first study to integrate bioinformatics approaches intended to identify the expression profiles and prognostic value of SIRTs in OC. These results suggest that SIRTs is related to the prognosis of OC and may be the potential therapeutic interventions in OC.

Indexed as

Gene Expression Regulation, NeoplasticFemaleHumansNeoplasm StagingOvarian NeoplasmsPrognosisSirtuinsSirtuins

Identifiers

PMID32541517
PMCPMC7302638
OpenAlexW3035087030

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.